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Record W3130451640

GENERACIÓN, COMPOSICIÓN Y RECICLAJE DE RESIDUOS SÓLIDOS URBANOS EN LA HABANA, CUBA

2019· article· es· W3130451640 on OpenAlexaff
Ma. del C. Espinosa Lloréns, Matilde López Torres, Susana Díaz Aguirre, Cira Lidia Isaac Godínez, Edward A. McBean, Natividad Ramírez Ramírez

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

La gestión de los residuos sólidos urbanos (RSU) es un desafío importante en todo el mundo, siendo insuficientes los estudios de su composición. El objetivo del presente trabajo fue establecer la tasa de generación, la composición física y la valorización por reciclaje de los RSU en áreas residenciales de La Habana. Se obtuvo que la tasa de generación promedio fue de 0,7 kg/persona-d, similar a otras ciudades del área geográfica. Para estudiar la composición física, los RSU se clasificaron en 11 ítems y los residuos orgánicos representaron el porcentaje mayor. Cinco componentes de los RSU en La Habana son prometedores para las actividades de reciclaje, alcanzando los porcentajes mayores el papel y el cartón. Los resultados presentados constituyen un aporte al estudio sobre el Plan de Manejo Integrado de los RSU en La Habana.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.160
GPT teacher head0.493
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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